| LijieFan/tvnet |
295 |
|
0 |
0 |
almost 5 years ago |
0 |
|
3 |
mit |
Python |
| End-to-End Learning of Motion Representation for Video Understanding |
| rohitgirdhar/ActionVLAD |
201 |
|
0 |
0 |
about 7 years ago |
0 |
|
4 |
other |
Python |
| ActionVLAD for video action classification (CVPR 2017) |
| wangheda/youtube-8m |
166 |
|
0 |
0 |
over 8 years ago |
0 |
|
2 |
apache-2.0 |
Python |
| The 2nd place Solution to the Youtube-8M Video Understanding Challenge by Team Monkeytyping (based on tensorflow) |
| ferreirafabio/video2tfrecord |
142 |
|
0 |
0 |
over 4 years ago |
0 |
|
6 |
mit |
Python |
| Easily convert RGB video data (e.g. .avi) to the TensorFlow tfrecords file format for training e.g. a NN in TensorFlow. This implementation allows to limit the number of frames per video to be stored in the tfrecords. |
| yoosan/i3d-tensorflow |
45 |
|
0 |
0 |
almost 8 years ago |
0 |
|
3 |
mit |
Python |
| Inflated 3D ConvNets for video understanding |
| jonasrothfuss/DeepEpisodicMemory |
10 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
mit |
Python |
| Deep neural network architecture for representing robot experiences in an episodic-like memory which facilitates encoding, recalling, and predicting action experience - Research Project at KIT's High Performance Humanoids Technologies Lab (H2T) |
